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AI's role in radiology evolving toward a promising futureJanuary 25, 2018 -- Ask any radiologist about the role of artificial intelligence (AI) in medical imaging and the response will likely cover the gamut of clinical tasks. Should AI handle routine chores that take time but offer little reimbursement? Or should it provide detailed data to solve complex cases and confirm suspected conditions? Discuss

Machine learning predicts working-memory performanceJanuary 23, 2018 -- Can the combination of a machine-learning algorithm and diffusion MRI metrics of brain white-matter microstructure serve as a useful method for the early prediction of working-memory impairment? It appears possible, according to recent research from NYU Langone Medical Center in New York City. Discuss

Artificial intelligence, brain MRI aid kids with hearing lossJanuary 15, 2018 -- U.S. and Chinese researchers have developed a machine-learning algorithm that analyzes MRI brain scans to predict how well deaf children may be able to develop language skills after receiving a cochlear implant, according to a study published online January 15 in the Proceedings of the National Academy of Sciences. Discuss

Artificial intelligence guides lower PET tracer doseJanuary 11, 2018 -- In PET imaging, the amount of radiotracer dose correlates with the level of image quality. But what if artificial intelligence (AI) could enable PET to be performed using only 1% of current dose levels -- speeding exam times, decreasing radiation exposure, lowering costs, and alleviating shortages in radiotracers? Discuss

Quantitative analysis may help classify thyroid nodulesDecember 22, 2017 -- The echogenicity of solid thyroid nodules is often assessed qualitatively during evaluation on ultrasound. But this task can also be performed quantitatively, potentially offering a useful tool for determining malignancy risk, according to research presented at the RSNA 2017 meeting in Chicago. Discuss

Deep learning analyzes PET for signs of dementiaDecember 22, 2017 -- A deep-learning algorithm that analyzed FDG-PET was able to differentiate between normal cognition and dementia. Such models could someday help radiologists diagnose Alzheimer's disease, especially if they don't see the condition often, according to a study presented at the RSNA 2017 meeting. Discuss

AI can spot large pneumothoraces on chest x-rayDecember 20, 2017 -- Artificial intelligence (AI) algorithms can automatically detect large pneumothoraces on chest x-ray exams -- potentially speeding up the detection and reporting of these critical findings, according to research presented at the RSNA 2017 meeting in Chicago. Discuss

FFR-CT algorithm guides management of revascularizationDecember 18, 2017 -- A deep-learning algorithm that analyzes fractional flow reserve CT (FFR-CT) scans was able to determine almost as well as invasive FFR which patients suspected of having coronary artery disease should be referred for revascularization. The finding could lead to better, less-invasive care, according to a presentation at RSNA 2017. Discuss

AI algorithm matches radiologists in breast screening examsDecember 12, 2017 -- How does an artificial intelligence (AI) algorithm compare to radiologists when it comes to interpreting screening mammography exams? Their performances were fairly comparable, according to research presented at the recent RSNA 2017 meeting in Chicago. Discuss